CN115659056A - Accurate matching system of user service based on big data - Google Patents
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Abstract
The invention provides a user service accurate matching system based on big data, which comprises: the vehicle-using consultation collection preprocessing subsystem is used for collecting and preprocessing multi-channel mass vehicle-using consultation data through big data to obtain mass vehicle-using consultation collection preprocessing data; extracting and identifying vehicle use consultation characteristic subsystem, and performing mass vehicle use consultation data characteristic classification through data information keyword extraction and keyword semantic identification; the automobile maintenance consultation characteristic model subsystem screens historical answer data of an automobile maintenance technician through big data carding, and establishes an intelligent matching model of automobile maintenance answer and automobile use consultation data characteristics through intelligent analysis of a framework service target; the intelligent automobile whole-chain service teaching subsystem carries out system matching intelligent automatic answering on new automobile consultation and new automobile technology through an automobile maintenance answer and automobile consultation data characteristic intelligent matching model, and carries out intelligent accurate matching, whole-chain knowledge service and learning, training and testing integrated automobile repair teaching of an automobile maintenance technician.
Description
Technical Field
The invention relates to the technical field of big data service traffic intelligence, in particular to a user service accurate matching system based on big data.
Background
At present, along with the great increase of the number and the types of vehicles, the vehicle consultations and the accurate matching for service based on the large data security are more and more important; the problems that exist at present include: problems of how to carry out vehicle using consultation collection pretreatment to obtain mass vehicle using consultation collection pretreatment data, how to extract and identify vehicle using consultation characteristics to obtain mass vehicle using consultation keywords, how to establish characteristic matching of vehicle maintenance answers and vehicle using consultation data, how to carry out system matching intelligent automatic answers on vehicle owner new consultations and vehicle new technologies, and how to carry out automobile repair teaching are still to be solved; therefore, there is a need to provide a big data based user service precise matching system to at least partially solve the problems existing in the prior art.
Disclosure of Invention
In the summary section, a series of concepts in a simplified form are introduced, which will be described in further detail in the detailed description section; the summary of the invention is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
To at least partially solve the above problems, the present invention provides a big data based user service precise matching system, comprising:
the vehicle-using consultation collection preprocessing subsystem is used for collecting and preprocessing multi-channel mass vehicle-using consultation data through big data to obtain mass vehicle-using consultation collection preprocessing data;
the vehicle using consultation feature extraction and identification subsystem is used for collecting preprocessing data according to mass vehicle using consultation, performing mass vehicle using consultation data feature classification through data information keyword extraction and keyword semantic identification, and acquiring mass vehicle using consultation keyword identification classification features;
the automobile maintenance consultation characteristic model subsystem identifies classification characteristics according to mass automobile use consultation keywords, screens historical answer data of an automobile maintenance technician through big data carding, and establishes an intelligent automobile maintenance answer and automobile use consultation data characteristic matching model through intelligent analysis of a framework service target;
the intelligent automobile full-chain service teaching subsystem carries out system matching intelligent automatic answering on automobile owner new consultation and automobile new technology through an automobile maintenance answer and automobile consultation data characteristic intelligent matching model, and carries out intelligent accurate matching, full-chain knowledge service and learning, training and testing integrated automobile repair teaching of an automobile maintenance technician.
Preferably, the in-vehicle consultation gathering preprocessing subsystem comprises:
the special-shaped data multi-end transmission and summarization subsystem is used for carrying out special-shaped data multi-end transmission and summarization on the mass vehicle using consultation data to obtain mass vehicle using consultation special-shaped transmission and summarization data;
the multi-type integration fast conversion subsystem is used for carrying out multi-type integration fast conversion on the mass vehicle-used consultation special-shaped transmission summarized data to obtain the mass vehicle-used consultation special-shaped transmission summarized multi-type fast conversion data;
and the gathering conversion vehicle consultation preprocessing subsystem is used for preprocessing big data of the mass vehicle-used consultation special-shaped transmission gathering multi-shaped quick conversion data to obtain mass vehicle-used consultation collection preprocessing data.
Preferably, the system for extracting and identifying vehicle consultation characteristics comprises:
the data information keyword extraction subsystem is used for collecting preprocessing data according to mass vehicle utilization consultation, and acquiring mass vehicle utilization consultation keyword data through data information keyword extraction;
the vehicle using consultation semantic identification subsystem extracts the keyword semantic identification features of mass vehicle using consultation keyword data to obtain the mass vehicle using consultation keyword semantic identification features;
and the consulting data feature classification subsystem is used for carrying out mass vehicle using consulting data feature classification on the mass vehicle using consulting keyword semantic identification features to obtain mass vehicle using consulting keyword identification classification features.
Preferably, the car repair consultation feature model subsystem includes:
the historical answer data combing subsystem is used for identifying and classifying features according to mass vehicle using consultation keywords, and combing and screening historical answer data of a vehicle maintenance technician through big data to obtain vehicle using consultation keyword feature matching maintenance answer information;
the basic information data association architecture subsystem is used for performing model basic information data association on the vehicle consultation keyword feature matching maintenance answer information to obtain a feature matching basic information data association architecture;
and the association architecture intelligent model establishing subsystem is used for establishing an automobile maintenance answer and automobile utilization consultation data feature intelligent matching model through intelligent analysis of an architecture service target according to the feature matching basic information data association architecture.
Preferably, the intelligent automobile full-chain service teaching subsystem includes:
the intelligent automatic model answering subsystem is used for capturing and collecting new car owner consultation and new car technology through big data, and performing system matching intelligent automatic answer on the new car owner consultation and the new car technology through an intelligent matching model of car maintenance answer and car utilization consultation data characteristics;
the intelligent accurate matching subsystem for automobile maintenance is used for intelligently and accurately matching automobile maintenance technicians according to new consultation of automobile owners and the output of the characteristic intelligent matching model of the new technology of automobiles;
and the full-link service learning, measuring and steam repair teaching subsystem is used for continuously improving the model according to the automobile full-link knowledge big data service and the learning, measuring and steam repair teaching process correction and performing full-link knowledge service and learning, measuring and steam repair teaching.
Preferably, the polytype integrated fast switching subsystem comprises:
the system type identification acquisition unit acquires the type to be converted through matching identification by system type identification; the matching identification of the type to be converted comprises the following steps: the method comprises the following steps of converting from a mobile phone system to a vehicle machine system, converting from an APP system to an applet system, and converting from an autonomous system to an open system;
the mass vehicle data special-shaped transmission unit is used for carrying out mass vehicle consultation special-shaped transmission and summarized data transmission on the matched and identified type to be converted;
and the data transmission parallel rapid conversion unit carries out polytype integration rapid conversion through transmission parallel rapid conversion to obtain massive vehicle-used consultation heterotype transmission summary polytype rapid conversion data.
Preferably, the data information keyword extraction subsystem includes:
the automobile consultation standard database unit is used for collecting preprocessing data according to mass automobile consultation and establishing an automobile consultation keyword standard database extracted by keywords;
the database reading keyword extraction unit is used for reading the automobile consultation keyword standard database data and acquiring mass automobile consultation keyword data through data information keyword extraction.
Preferably, the vehicle consultation semantic identification subsystem includes:
the vehicle using consultation semantic mark library unit defines a semantic recognition vehicle using consultation semantic mark and establishes a vehicle using consultation semantic library;
and the semantic recognition feature searching unit is used for searching the vehicle using consultation semantic library information, extracting keyword semantic recognition features of mass vehicle using consultation keyword data and acquiring the mass vehicle using consultation keyword semantic recognition features.
Preferably, the association architecture intelligent model building subsystem includes:
the architecture combination automobile service basic data unit is used for combining automobile user service model basic data according to the characteristic matching basic information data association architecture to obtain associated architecture user service model basic data;
and the basic data accumulation model creating unit is used for intelligently accumulating and matching basic data of the associated architecture user service model and intelligently analyzing an architecture service target to establish an intelligent matching model of automobile maintenance answer and automobile utilization consultation data characteristics.
Preferably, the full-chain service science training, testing and automobile repair teaching subsystem comprises:
the full-link knowledge map combination unit acquires a big data service index of the automobile full-link knowledge and a correction outline of the learning, testing and steam repair teaching process through the full-link knowledge map;
the full-link service practice and survey teaching unit is used for modifying the outline of the automobile full-link knowledge big data service index and the practice, survey and vapour repair teaching process, continuously improving the characteristic intelligent matching model of the automobile maintenance answer and the automobile consultation data characteristic intelligent matching model, and performing full-link knowledge service and practice, survey and survey integrated vapour repair teaching.
Compared with the prior art, the invention at least comprises the following beneficial effects:
the user service accurate matching system based on the big data collects a preprocessing subsystem through vehicle consultation, and collects preprocessing multi-channel mass vehicle consultation data through the big data to obtain mass vehicle consultation and collection preprocessing data; the vehicle using consultation feature extraction and identification subsystem is used for collecting preprocessing data according to mass vehicle using consultation, performing mass vehicle using consultation data feature classification through data information keyword extraction and keyword semantic identification, and acquiring mass vehicle using consultation keyword identification classification features; the automobile maintenance consultation characteristic model subsystem identifies classification characteristics according to mass automobile use consultation keywords, screens historical answer data of an automobile maintenance technician through big data carding, and establishes an intelligent automobile maintenance answer and automobile use consultation data characteristic matching model through intelligent analysis of a framework service target; the intelligent automobile full-chain service teaching subsystem carries out system matching intelligent automatic answer on new automobile inquiry and new automobile technology through an automobile maintenance answer and automobile inquiry data characteristic intelligent matching model, and carries out intelligent accurate matching, full-chain knowledge service and learning, training and testing integrated automobile repair teaching of an automobile maintenance technician; the mass vehicle using consultation data can be transmitted in a multi-port mode, and the transmission rate of the mass vehicle using consultation data is greatly accelerated; the method has the advantages that the keyword semantic recognition feature extraction and the feature classification of the mass vehicle using consultation keyword data can be carried out on the mass vehicle using consultation keyword data, so that the complexity of the mass vehicle using consultation data is greatly simplified; the characteristic matching basic information data association architecture service target can be clearer, and the intelligent characteristic matching model of the automobile maintenance answer and the automobile consultation data is more accurate; the full-link knowledge service coverage is wider, the learning, training and testing integrated automobile repair teaching can be performed, and the intelligent degree of the automobile repair teaching is greatly improved.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention; in the drawings:
FIG. 1 is a frame diagram of a big data based user service precise matching system according to the present invention;
FIG. 2 is a diagram of a rapid conversion subsystem for multimodal integration of a big data-based user service precise matching system according to the present invention;
FIG. 3 is a diagram of a full-chain service learning, testing and automobile repair teaching subsystem of the big data-based user service accurate matching system of the present invention.
Detailed Description
The present invention is further described in detail below with reference to the drawings and examples, so that those skilled in the art can implement the invention with reference to the description; as shown in fig. 1-3, the present invention provides a big data based accurate matching system for user services, comprising:
a vehicle-using consultation collection pretreatment subsystem collects and pretreats multi-channel mass vehicle-using consultation data through big data collection to obtain mass vehicle-using consultation collection pretreatment data;
extracting and identifying vehicle using consultation characteristic subsystem, collecting preprocessing data according to mass vehicle using consultation, classifying mass vehicle using consultation data characteristics through data information keyword extraction and keyword semantic identification, and acquiring mass vehicle using consultation keyword identification classification characteristics;
the automobile maintenance consultation characteristic model subsystem identifies classification characteristics according to mass automobile use consultation keywords, screens historical answer data of an automobile maintenance technician through big data carding, and establishes an intelligent automobile maintenance answer and automobile use consultation data characteristic matching model through intelligent analysis of a framework service target;
the intelligent automobile full-chain service teaching subsystem carries out system matching intelligent automatic answering on automobile owner new consultation and automobile new technology through an automobile maintenance answer and automobile consultation data characteristic intelligent matching model, and carries out intelligent accurate matching, full-chain knowledge service and learning, training and testing integrated automobile repair teaching of an automobile maintenance technician.
The working principle of the technical scheme is as follows: the invention provides a user service accurate matching system based on big data, which comprises: the vehicle-using consultation collection preprocessing subsystem is used for collecting and preprocessing multi-channel mass vehicle-using consultation data through big data to obtain mass vehicle-using consultation collection preprocessing data; the vehicle using consultation feature extraction and identification subsystem is used for collecting preprocessing data according to mass vehicle using consultation, performing mass vehicle using consultation data feature classification through data information keyword extraction and keyword semantic identification, and acquiring mass vehicle using consultation keyword identification classification features; the automobile maintenance consultation characteristic model subsystem identifies classification characteristics according to mass automobile use consultation keywords, screens historical answer data of an automobile maintenance technician through big data carding, and establishes an intelligent automobile maintenance answer and automobile use consultation data characteristic matching model through intelligent analysis of a framework service target; the intelligent automobile full-chain service teaching subsystem carries out system matching intelligent automatic answering on automobile owner new consultation and automobile new technology through an automobile maintenance answer and automobile consultation data characteristic intelligent matching model, and carries out intelligent accurate matching, full-chain knowledge service and learning, training and testing integrated automobile repair teaching of an automobile maintenance technician.
The technical effect of the technical scheme is as follows: the user service accurate matching system based on the big data collects a preprocessing subsystem through vehicle consultation, and collects preprocessing multi-channel mass vehicle consultation data through the big data to obtain mass vehicle consultation and collection preprocessing data; the vehicle using consultation feature extraction and identification subsystem is used for collecting preprocessing data according to mass vehicle using consultation, performing mass vehicle using consultation data feature classification through data information keyword extraction and keyword semantic identification, and acquiring mass vehicle using consultation keyword identification classification features; the automobile maintenance consultation characteristic model subsystem is used for identifying classification characteristics according to mass automobile using consultation key words, sorting and screening historical answer data of automobile maintenance technicians through big data, and establishing an intelligent matching model of automobile maintenance answers and automobile using consultation data characteristics through intelligent analysis of a framework service target; the intelligent automobile full-chain service teaching subsystem carries out system matching intelligent automatic answer on new automobile inquiry and new automobile technology through an automobile maintenance answer and automobile inquiry data characteristic intelligent matching model, and carries out intelligent accurate matching, full-chain knowledge service and learning, training and testing integrated automobile repair teaching of an automobile maintenance technician; the mass vehicle using consultation data can be transmitted in a multi-port mode, and the transmission rate of the mass vehicle using consultation data is greatly accelerated; the method has the advantages that keyword semantic recognition feature extraction can be performed on mass vehicle using consultation keyword data, mass vehicle using consultation data feature classification can be performed, and the complexity of the mass vehicle using consultation data is greatly simplified; the characteristic matching basic information data association architecture service target can be clearer, and the intelligent characteristic matching model of the automobile maintenance answer and the automobile consultation data is more accurate; the full-link knowledge service coverage is wider, the learning, training and testing integrated automobile repair teaching can be performed, and the intelligent degree of the automobile repair teaching is greatly improved.
In one embodiment, the in-vehicle advisory gathering pre-processing subsystem comprises:
the special-shaped data multi-end transmission and summarization subsystem is used for carrying out special-shaped data multi-end transmission and summarization on mass vehicle utilization consultation data to obtain mass vehicle utilization consultation special-shaped transmission and summarization data;
the multi-type integration fast conversion subsystem is used for carrying out multi-type integration fast conversion on the mass vehicle-used consultation special-shaped transmission summarized data to obtain the mass vehicle-used consultation special-shaped transmission summarized multi-type fast conversion data;
and the summarizing and converting vehicle consultation preprocessing subsystem is used for preprocessing the big data of the mass vehicle consultation special-shaped transmission summarizing multi-type quick conversion data to obtain mass vehicle consultation collecting preprocessing data.
The working principle of the technical scheme is as follows: the vehicle consultation, collection and pretreatment subsystem comprises: the special-shaped data multi-end transmission and summarization subsystem is used for carrying out special-shaped data multi-end transmission and summarization on mass vehicle utilization consultation data to obtain mass vehicle utilization consultation special-shaped transmission and summarization data; the multi-type integration fast conversion subsystem is used for carrying out multi-type integration fast conversion on the mass vehicle-used consultation special-shaped transmission summarized data to obtain the mass vehicle-used consultation special-shaped transmission summarized multi-type fast conversion data; and the summarizing and converting vehicle consultation preprocessing subsystem is used for preprocessing the big data of the mass vehicle consultation special-shaped transmission summarizing multi-type quick conversion data to obtain mass vehicle consultation collecting preprocessing data.
The technical effect of the technical scheme is as follows: the special-shaped data multi-end transmission summarizing subsystem is used for carrying out special-shaped data multi-end transmission summarizing on the mass vehicle using consultation data to obtain mass vehicle using consultation special-shaped transmission summarizing data; the multi-type integration fast conversion subsystem is used for carrying out multi-type integration fast conversion on the mass vehicle-used consultation special-shaped transmission summarized data to obtain the mass vehicle-used consultation special-shaped transmission summarized multi-type fast conversion data; the system comprises a gathering conversion vehicle consultation preprocessing subsystem, a data processing subsystem and a data processing subsystem, wherein the gathering conversion vehicle consultation preprocessing subsystem is used for preprocessing mass vehicle-used consultation special-shaped transmission gathering multi-shaped rapid conversion data to obtain mass vehicle-used consultation collection preprocessing data; the vehicle using consultation data transmission method can carry out multi-port transmission on the mass vehicle using consultation data, and greatly accelerates the transmission rate of the mass vehicle using consultation data.
In one embodiment, the system for extracting and identifying vehicle consultation characteristics comprises:
the data information keyword extraction subsystem is used for collecting preprocessing data according to mass vehicle utilization consultation, and acquiring mass vehicle utilization consultation keyword data through data information keyword extraction;
the vehicle using consultation semantic identification subsystem is used for extracting keyword semantic identification features from mass vehicle using consultation keyword data to obtain mass vehicle using consultation keyword semantic identification features;
and the consultation data feature classification subsystem is used for carrying out mass vehicle using consultation data feature classification on the mass vehicle using consultation keyword semantic identification features to obtain mass vehicle using consultation keyword identification and classification features.
The working principle of the technical scheme is as follows: the system for extracting and identifying vehicle consultation characteristics comprises: the data information keyword extraction subsystem is used for collecting preprocessing data according to the mass vehicle utilization consultation and acquiring mass vehicle utilization consultation keyword data through data information keyword extraction; the vehicle using consultation semantic identification subsystem extracts the keyword semantic identification features of mass vehicle using consultation keyword data to obtain the mass vehicle using consultation keyword semantic identification features; and the consulting data feature classification subsystem is used for carrying out mass vehicle using consulting data feature classification on the mass vehicle using consulting keyword semantic identification features to obtain mass vehicle using consulting keyword identification classification features.
The technical effect of the technical scheme is as follows: the data information keyword extraction subsystem is used for collecting preprocessing data according to mass vehicle utilization consultation, and mass vehicle utilization consultation keyword data are obtained through data information keyword extraction; the vehicle using consultation semantic identification subsystem extracts the keyword semantic identification features of mass vehicle using consultation keyword data to obtain the mass vehicle using consultation keyword semantic identification features; the vehicle using consultation data feature classification subsystem is used for carrying out mass vehicle using consultation keyword semantic identification features on the mass vehicle using consultation keyword semantic identification features to obtain mass vehicle using consultation keyword identification classification features; the vehicle using consultation key word feature extraction method can be used for carrying out key word semantic recognition feature extraction on mass vehicle using consultation key word data and carrying out mass vehicle using consultation data feature classification, and complexity of mass vehicle using consultation data is greatly simplified.
In one embodiment, the vehicle repair advisory features model subsystem comprises:
the historical answer data combing subsystem is used for identifying and classifying features according to mass vehicle using consultation keywords, and combing and screening historical answer data of a vehicle maintenance technician through big data to obtain vehicle using consultation keyword feature matching maintenance answer information;
the basic information data association architecture subsystem is used for performing model basic information data association on the vehicle consultation keyword feature matching maintenance answer information to obtain a feature matching basic information data association architecture;
and the association architecture intelligent model establishing subsystem is used for establishing an automobile maintenance answer and automobile utilization consultation data feature intelligent matching model through intelligent analysis of an architecture service target according to the feature matching basic information data association architecture.
The working principle of the technical scheme is as follows: the automobile maintenance consultation characteristic model subsystem comprises: the historical answer data combing subsystem is used for identifying and classifying characteristics according to mass vehicle using consultation key words, combing and screening historical answer data of the vehicle maintenance technician through big data, and acquiring characteristic matching maintenance answer information of the vehicle using consultation key words; the basic information data association architecture subsystem is used for performing model basic information data association on the vehicle consultation keyword feature matching maintenance answer information to obtain a feature matching basic information data association architecture; and the association architecture intelligent model establishing subsystem is used for establishing an automobile maintenance answer and automobile utilization consultation data feature intelligent matching model through intelligent analysis of an architecture service target according to the feature matching basic information data association architecture.
The technical effect of the technical scheme is as follows: the automobile maintenance consultation characteristic model subsystem comprises: the historical answer data combing subsystem is used for identifying and classifying characteristics according to mass vehicle using consultation key words, combing and screening historical answer data of the vehicle maintenance technician through big data, and acquiring characteristic matching maintenance answer information of the vehicle using consultation key words; the basic information data association architecture subsystem is used for performing model basic information data association on the vehicle consultation keyword feature matching maintenance answer information to obtain a feature matching basic information data association architecture; the system comprises an association architecture intelligent model establishing subsystem, a system analysis subsystem and a system analysis subsystem, wherein the association architecture intelligent model establishing subsystem is used for establishing an automobile maintenance answer and automobile utilization consultation data characteristic intelligent matching model through architecture service target intelligent analysis according to a characteristic matching basic information data association architecture; the characteristic matching basic information data association architecture service target can be clearer, and the intelligent characteristic matching model of the automobile maintenance answer and the automobile consultation data is more accurate.
In one embodiment, the intelligent automobile full-chain service teaching subsystem comprises:
the model intelligent automatic answering subsystem is used for capturing and collecting new vehicle owner consultation and new vehicle technology through big data, and performing system matching intelligent automatic answering on the new vehicle owner consultation and the new vehicle technology through an intelligent vehicle maintenance answering and vehicle utilization consultation data characteristic matching model;
the intelligent accurate matching subsystem for automobile maintenance is used for intelligently and accurately matching an automobile maintenance technician according to the new consultation of the automobile owner and the output of the intelligent matching model of the characteristics of the new technology of the automobile;
and the full-link service learning, measuring and steam repair teaching subsystem is used for continuously improving the model according to the automobile full-link knowledge big data service and the learning, measuring and steam repair teaching process correction and performing full-link knowledge service and learning, measuring and steam repair teaching.
The working principle of the technical scheme is as follows: intelligent automobile full chain service teaching divides system includes: the intelligent automatic model answering subsystem is used for capturing and collecting new car owner consultation and new car technology through big data, and performing system matching intelligent automatic answer on the new car owner consultation and the new car technology through an intelligent matching model of car maintenance answer and car utilization consultation data characteristics; the intelligent accurate matching subsystem for automobile maintenance is used for intelligently and accurately matching an automobile maintenance technician according to the new consultation of the automobile owner and the output of the intelligent matching model of the characteristics of the new technology of the automobile; the full-link service learning, testing and steam repair teaching subsystem carries out model continuous improvement according to automobile full-link knowledge big data service and learning, testing and steam repair teaching process correction, and carries out full-link knowledge service and learning, testing and integrated steam repair teaching.
The technical effect of the technical scheme is as follows: intelligent automobile full chain service teaching divides system includes: the model intelligent automatic answering subsystem is used for capturing and collecting new vehicle owner consultation and new vehicle technology through big data, and performing system matching intelligent automatic answering on the new vehicle owner consultation and the new vehicle technology through an intelligent vehicle maintenance answering and vehicle utilization consultation data characteristic matching model; the intelligent accurate matching subsystem for automobile maintenance is used for intelligently and accurately matching automobile maintenance technicians according to new consultation of automobile owners and the output of the characteristic intelligent matching model of the new technology of automobiles; the full-link service learning, testing and steam repair teaching subsystem is used for continuously improving a model according to the automobile full-link knowledge big data service and the learning, testing and steam repair teaching process correction and performing full-link knowledge service and learning, testing and integrated steam repair teaching; the full-link knowledge service coverage is wider, the learning, training and testing integrated automobile repair teaching can be performed, and the intelligent degree of the automobile repair teaching is greatly improved.
In one embodiment, the multiple integrated fast switching subsystem comprises:
the system type identification acquisition unit acquires the type to be converted through matching identification by system type identification; the matching and identifying the type to be converted comprises the following steps: the method comprises the following steps of converting from a mobile phone system to a vehicle machine system, converting from an APP system to an applet system, and converting from an autonomous system to an open system;
the mass vehicle data special-shaped transmission unit is used for carrying out mass vehicle consultation special-shaped transmission and summarized data transmission on the matched and identified type to be converted;
and the data transmission parallel rapid conversion unit carries out polytype integration rapid conversion through transmission parallel rapid conversion to obtain massive vehicle-used consultation heterotype transmission summary polytype rapid conversion data.
The working principle of the technical scheme is as follows: the multi-type integrated fast switching subsystem comprises: the system type identification acquisition unit acquires the type to be converted through matching identification by system type identification; the matching identification of the type to be converted comprises the following steps: the method comprises the following steps of converting from a mobile phone system to a vehicle machine system, converting from an APP system to an applet system, and converting from an autonomous system to an open system; the mass vehicle-using data special-shaped transmission unit is used for carrying out mass vehicle-using consultation special-shaped transmission and summarized data transmission on the matched and identified type to be converted; and the data transmission parallel rapid conversion unit carries out polytype integration rapid conversion through transmission parallel rapid conversion to obtain massive vehicle-used consultation heterotype transmission summary polytype rapid conversion data.
The technical effect of the technical scheme is as follows: the multi-type integrated fast switching subsystem comprises: the system type identification acquisition unit acquires the type to be converted through matching identification by system type identification; the matching identification of the type to be converted comprises the following steps: the method comprises the following steps of converting from a mobile phone system to a vehicle machine system, converting from an APP system to an applet system, and converting from an autonomous system to an open system; the mass vehicle data special-shaped transmission unit is used for carrying out mass vehicle consultation special-shaped transmission and summarized data transmission on the matched and identified type to be converted; the data transmission parallel rapid conversion unit carries out polytype integration rapid conversion through transmission parallel rapid conversion to obtain massive vehicle consultation heterotype transmission summary polytype rapid conversion data; the method can be matched with various types of systems to be converted, and can carry out mass vehicle data special-shaped transmission and multi-type integration rapid conversion.
In one embodiment, the data information keyword extraction subsystem comprises:
the automobile consultation standard database unit is used for collecting preprocessing data according to mass automobile consultation and establishing an automobile consultation keyword standard database extracted by keywords;
the database reading keyword extraction unit is used for reading the standard database data of the vehicle consultation keywords and acquiring mass vehicle consultation keyword data through data information keyword extraction.
The working principle of the technical scheme is as follows: the data information keyword extraction subsystem comprises: the automobile consultation standard database unit is used for collecting preprocessing data according to mass automobile consultation and establishing an automobile consultation keyword standard database extracted by keywords; the database reading keyword extraction unit is used for reading the automobile consultation keyword standard database data and acquiring mass automobile consultation keyword data through data information keyword extraction; dividing mass vehicle using consultation collection preprocessing data according to vehicle using consultation types, vehicle using consultation time, vehicle using consultation types and vehicle using consultation sentences, and establishing a vehicle consulting keyword standard database for keyword extraction; and reading the data of the automobile consultation keyword standard database, extracting the data information keywords of the automobile consultation keyword standard database according to intelligent AI semantic recognition, and acquiring mass automobile consultation keyword data.
The technical effect of the technical scheme is as follows: the data information keyword extraction subsystem comprises: the automobile consultation standard database unit is used for collecting preprocessing data according to mass automobile consultation and establishing an automobile consultation keyword standard database extracted by keywords; the database reading keyword extraction unit is used for reading the automobile consultation keyword standard database data and acquiring mass automobile consultation keyword data through data information keyword extraction; dividing mass vehicle using consultation collection preprocessing data according to vehicle using consultation types, vehicle using consultation time, vehicle using consultation types and vehicle using consultation sentences, and establishing a vehicle consultation keyword standard database for keyword extraction; reading automobile consultation keyword standard database data, extracting automobile consultation keyword standard database data information keywords according to intelligent AI semantic recognition, and acquiring mass automobile consultation keyword data; the mass vehicle using consultation data and the vehicle consulting keyword standard data can be more standard.
In one embodiment, the in-vehicle consultation semantic recognition subsystem comprises:
the vehicle using consultation semantic mark library unit defines a semantic recognition vehicle using consultation semantic mark and establishes a vehicle using consultation semantic library;
and the semantic identification feature searching unit is used for searching automobile vehicle use consultation semantic library information, extracting keyword semantic identification features of mass automobile use consultation keyword data and acquiring the mass automobile use consultation keyword semantic identification features.
The working principle of the technical scheme is as follows: the vehicle consultation semantic identification subsystem comprises: the vehicle using consultation semantic mark library unit defines a semantic recognition vehicle using consultation semantic mark and establishes a vehicle using consultation semantic library; and the semantic identification feature searching unit is used for searching automobile vehicle use consultation semantic library information, extracting keyword semantic identification features of mass automobile use consultation keyword data and acquiring the mass automobile use consultation keyword semantic identification features.
The technical effect of the technical scheme is as follows: the vehicle consultation semantic identification subsystem comprises: the vehicle using consultation semantic mark library unit defines a semantic recognition vehicle using consultation semantic mark and establishes a vehicle using consultation semantic library; the vehicle using vehicle consultation keyword search method comprises the steps of searching semantic identification feature units, searching vehicle using vehicle consultation semantic library information, extracting keyword semantic identification features of mass vehicle using consultation keyword data, and obtaining mass vehicle using consultation keyword semantic identification features; the automobile consultation semantics are more standard.
In one embodiment, the association architecture intelligent model building subsystem comprises:
the architecture combination automobile service basic data unit is used for combining automobile user service model basic data according to the characteristic matching basic information data association architecture to obtain associated architecture user service model basic data;
and the basic data accumulation model creating unit is used for intelligently accumulating and matching basic data of the associated architecture user service model and intelligently analyzing an architecture service target to establish an intelligent matching model of automobile maintenance answer and automobile utilization consultation data characteristics.
The working principle of the technical scheme is as follows: the correlation architecture intelligent model establishing subsystem comprises: the architecture combination automobile service basic data unit is used for combining automobile user service model basic data according to the characteristic matching basic information data association architecture to obtain associated architecture user service model basic data; and the basic data accumulation model creating unit is used for intelligently accumulating and matching basic data of the associated architecture user service model and intelligently analyzing an architecture service target to establish an intelligent matching model of automobile maintenance answer and automobile utilization consultation data characteristics.
The technical effect of the technical scheme is as follows: the association architecture intelligent model building subsystem comprises: the system comprises a framework combination automobile service basic data unit, a characteristic matching basic information data association framework, an automobile user service model basic data combination unit and a characteristic matching basic information data association framework, wherein the automobile user service model basic data combination unit is used for combining the automobile user service model basic data according to the characteristic matching basic information data association framework and acquiring the associated framework user service model basic data; the basic data accumulation model creating unit is used for intelligently accumulating and matching basic data of the associated architecture user service model and intelligently analyzing an architecture service target to establish an intelligent matching model of automobile maintenance answer and automobile utilization consultation data characteristics; the characteristic matching basic information data association architecture and the basic data of the automobile user service model can be combined more clearly and strictly.
In one embodiment, the full-chain service science test steam repair teaching subsystem comprises:
the full-link knowledge map combination unit acquires a service index of the big data of the automobile full-link knowledge and a revision outline of the teaching process of learning, testing, repairing and repairing the automobile through the full-link knowledge map;
the full-link service practice and survey teaching unit is used for modifying the outline of the automobile full-link knowledge big data service index and the practice, survey and vapour repair teaching process, continuously improving the characteristic intelligent matching model of the automobile maintenance answer and the automobile consultation data characteristic intelligent matching model, and performing full-link knowledge service and practice, survey and survey integrated vapour repair teaching.
The working principle of the technical scheme is as follows: the full-chain service science training, testing and steam repair teaching subsystem comprises: the full-link knowledge map combination unit acquires a service index of the big data of the automobile full-link knowledge and a revision outline of the teaching process of learning, testing, repairing and repairing the automobile through the full-link knowledge map; the full-link service practice and survey teaching unit is used for correcting the outline by utilizing an automobile full-link knowledge big data service index and a practice, survey and steam repair teaching process, continuously improving a characteristic intelligent matching model of an automobile maintenance answer and an automobile consultation data characteristic intelligent matching model, and performing full-link knowledge service and practice, survey and survey integrated steam repair teaching;
calculating the combined growth rate of the knowledge graph of the full link, wherein the calculation formula is as follows:
wherein, QZST (i, j) represents the full link knowledge graph combination growth rate, ZSTj represents the j-th knowledge graph combination state growth rate, ZSi represents the i-th link transmission state transmission rate, STi represents the i-th link transmission state failure rate, QZi represents the i-th link transmission state reference growth value, Q represents the knowledge graph combination state total number, P represents the link transmission state total number, i represents the i-th link transmission state, j represents the j-th knowledge graph combination state, ZSo represents the link transmission state reference transmission rate, and STo represents the link transmission state reference failure rate.
The technical effect of the technical scheme is as follows: the full-chain service science training, testing and steam repair teaching subsystem comprises: the full-link knowledge map combination unit acquires a big data service index of the automobile full-link knowledge and a correction outline of the learning, testing and steam repair teaching process through the full-link knowledge map; the full-link service training and testing teaching unit corrects a compendium in a training and testing automobile repair teaching process by utilizing an automobile full-link knowledge big data service index, continuously improves a characteristic intelligent matching model of automobile maintenance answers and automobile consultation data characteristic intelligent matching models, and performs full-link knowledge service and training and testing integrated automobile repair teaching:
calculating a full link knowledge graph combination growth rate, wherein QZST (i, j) represents the full link knowledge graph combination growth rate, ZSTj represents the j-th knowledge graph combination state growth rate, ZSi represents the i-th link transmission state transmission rate, STi represents the i-th link transmission state failure rate, QZi represents the reference growth value of the i-th link transmission state, Q represents the total number of knowledge graph combination states, P represents the total number of link transmission states, i represents the i-th link transmission state, j represents the j-th knowledge graph combination state, ZSO represents the link transmission state reference transmission rate, and STo represents the link transmission state reference failure rate; by calculating the combination growth rate of the full-link knowledge graph, the combination growth of the full-link knowledge graph can be more efficient, and the effective knowledge growth of the automobile full-link knowledge graph is faster.
While embodiments of the invention have been described above, it is not intended to be limited to the details shown, described and illustrated herein, but is to be accorded the widest scope consistent with the principles and novel features herein disclosed, and to such extent that such modifications are readily available to those skilled in the art, and it is not intended to be limited to the details shown and described herein without departing from the general concept as defined by the appended claims and their equivalents.
Claims (10)
1. Accurate matching system of user's service based on big data, its characterized in that includes:
the vehicle-using consultation collection preprocessing subsystem is used for collecting and preprocessing multi-channel mass vehicle-using consultation data through big data to obtain mass vehicle-using consultation collection preprocessing data;
the vehicle using consultation feature extraction and identification subsystem is used for collecting preprocessing data according to mass vehicle using consultation, performing mass vehicle using consultation data feature classification through data information keyword extraction and keyword semantic identification, and acquiring mass vehicle using consultation keyword identification classification features;
the automobile maintenance consultation characteristic model subsystem identifies classification characteristics according to mass automobile use consultation keywords, screens historical answer data of an automobile maintenance technician through big data carding, and establishes an intelligent automobile maintenance answer and automobile use consultation data characteristic matching model through intelligent analysis of a framework service target;
the intelligent automobile whole-chain service teaching subsystem carries out system matching intelligent automatic answering on new automobile consultation and new automobile technology through an automobile maintenance answer and automobile consultation data characteristic intelligent matching model, and carries out intelligent accurate matching, whole-chain knowledge service and learning, training and testing integrated automobile repair teaching of an automobile maintenance technician.
2. The big data-based user service precision matching system as claimed in claim 1, wherein the vehicle advisory collection preprocessing subsystem comprises:
the special-shaped data multi-end transmission and summarization subsystem is used for carrying out special-shaped data multi-end transmission and summarization on mass vehicle utilization consultation data to obtain mass vehicle utilization consultation special-shaped transmission and summarization data;
the multi-type integration fast conversion subsystem is used for carrying out multi-type integration fast conversion on the mass vehicle-used consultation special-shaped transmission summarized data to obtain the mass vehicle-used consultation special-shaped transmission summarized multi-type fast conversion data;
and the summarizing and converting vehicle consultation preprocessing subsystem is used for preprocessing the big data of the mass vehicle consultation special-shaped transmission summarizing multi-type quick conversion data to obtain mass vehicle consultation collecting preprocessing data.
3. The big data based user service precision matching system as claimed in claim 1, wherein said extracting recognition vehicle consultation characteristics subsystem comprises:
the data information keyword extraction subsystem is used for collecting preprocessing data according to the mass vehicle utilization consultation and acquiring mass vehicle utilization consultation keyword data through data information keyword extraction;
the vehicle using consultation semantic identification subsystem extracts the keyword semantic identification features of mass vehicle using consultation keyword data to obtain the mass vehicle using consultation keyword semantic identification features;
and the consulting data feature classification subsystem is used for carrying out mass vehicle using consulting data feature classification on the mass vehicle using consulting keyword semantic identification features to obtain mass vehicle using consulting keyword identification classification features.
4. The big-data based user service precision matching system as claimed in claim 1, wherein the car repair advisory feature model subsystem comprises:
the historical answer data combing subsystem is used for identifying and classifying features according to mass vehicle using consultation keywords, and combing and screening historical answer data of a vehicle maintenance technician through big data to obtain vehicle using consultation keyword feature matching maintenance answer information;
the basic information data association architecture subsystem is used for performing model basic information data association on the vehicle consultation keyword feature matching maintenance answer information to obtain a feature matching basic information data association architecture;
and the association architecture intelligent model establishing subsystem is used for establishing an automobile maintenance answer and vehicle utilization consultation data feature intelligent matching model through architecture service target intelligent analysis according to the feature matching basic information data association architecture.
5. The big data based user service precise matching system as claimed in claim 1, wherein the intelligent car full chain service teaching subsystem comprises:
the intelligent automatic model answering subsystem is used for capturing and collecting new car owner consultation and new car technology through big data, and performing system matching intelligent automatic answer on the new car owner consultation and the new car technology through an intelligent matching model of car maintenance answer and car utilization consultation data characteristics;
the intelligent accurate matching subsystem for automobile maintenance is used for intelligently and accurately matching automobile maintenance technicians according to new consultation of automobile owners and the output of the characteristic intelligent matching model of the new technology of automobiles;
the full-link service learning, testing and steam repair teaching subsystem carries out model continuous improvement according to automobile full-link knowledge big data service and learning, testing and steam repair teaching process correction, and carries out full-link knowledge service and learning, testing and integrated steam repair teaching.
6. The big data based user service precision matching system as claimed in claim 2, wherein the polytype integrated fast transformation subsystem comprises:
the system type identification acquisition unit acquires the type to be converted through matching identification by system type identification; the matching and identifying the type to be converted comprises the following steps: the method comprises the following steps of converting from a mobile phone system to a vehicle machine system, converting from an APP system to an applet system, and converting from an autonomous system to an open system;
the mass vehicle data special-shaped transmission unit is used for carrying out mass vehicle consultation special-shaped transmission and summarized data transmission on the matched and identified type to be converted;
and the data transmission parallel rapid conversion unit carries out polytype integration rapid conversion through transmission parallel rapid conversion to obtain massive vehicle-used consultation heterotype transmission summary polytype rapid conversion data.
7. The big data based user service precise matching system according to claim 3, wherein the data information keyword extraction subsystem comprises:
the automobile consultation standard database unit is used for collecting preprocessing data according to mass automobile consultation and establishing an automobile consultation keyword standard database extracted by keywords;
the database reading keyword extraction unit is used for reading the automobile consultation keyword standard database data and acquiring mass automobile consultation keyword data through data information keyword extraction.
8. The big data-based precise matching system for user services according to claim 3, wherein the vehicular consultation semantic identification subsystem comprises:
the vehicle using consultation semantic mark library unit defines a semantic recognition vehicle using consultation semantic mark and establishes a vehicle using consultation semantic library;
and the semantic recognition feature searching unit is used for searching the vehicle using consultation semantic library information, extracting keyword semantic recognition features of mass vehicle using consultation keyword data and acquiring the mass vehicle using consultation keyword semantic recognition features.
9. The big data based user service precision matching system according to claim 4, wherein the correlation architecture intelligent model building subsystem comprises:
the architecture combination automobile service basic data unit is used for combining automobile user service model basic data according to the characteristic matching basic information data association architecture to obtain associated architecture user service model basic data;
and the basic data accumulation model creating unit is used for intelligently accumulating and matching basic data of the associated architecture user service model and intelligently analyzing an architecture service target to establish an intelligent matching model of automobile maintenance answer and automobile utilization consultation data characteristics.
10. The big data based user service precision matching system as claimed in claim 5, wherein the full chain service science training and testing steam repair teaching subsystem comprises:
the full-link knowledge map combination unit acquires a big data service index of the automobile full-link knowledge and a correction outline of the learning, testing and steam repair teaching process through the full-link knowledge map;
the full-link service learning, testing and teaching unit is used for correcting the outline in the automobile full-link knowledge big data service index and learning, testing and automobile repair teaching process, continuously improving the intelligent characteristic matching model of the automobile maintenance answer and the automobile consultation data intelligent characteristic matching model, and performing full-link knowledge service and learning, testing and integrating automobile repair teaching.
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